Research and Application of Power Grid Maintenance Scheduling Strategy under the Interactive Mode of New Energy and Electrolytic Aluminum Load

Abstract

Formulating a reasonable and feasible unit maintenance scheme is a promising way to eliminate potential risks and improve the reliability of power systems. However, the uncertainty and volatility of new energy outputs, such as wind power, increase the difficulty of scheme formulation. To overcome the complexity of uncertainty, a robust unit maintenance scheme considering the uncertainty of new energy output and electrolytic aluminum load is established in this paper. Considering the significant time-series characteristics of new energy, this paper first introduces the definition and mathematical model of information granulation (IG), through which the initial new energy output data can be transformed into fuzzy particles used for prediction and analysis. Moreover, a support-vector machine (SVM) regression prediction model is adopted, and a corresponding progressive search algorithm is designed to determine SVM parameters efficiently. Then, a robust unit maintenance model is established considering the upper and lower predicted error. In addition, electrolytic aluminum loads are allowed to participate in power system dispatch. Finally, the modified reliability test system–Grid Modernization Lab Consortium (RTS–GMLC test system) and an actual power grid in Southwest China are used to verify the accuracy and feasibility of the proposed method.

Blockchain-Based Decentralized Power Dispatching Model for Power Grids Integrated with Renewable Energy and Flexible Load

“…The digitalization and intelligence of electricity and energy services is the development direction of the power system, as well as an essential condition for realizing the upgrading of the energy structure and improving the competitiveness of enterprises [1]. With the rapid development of renewable energy technologies and demand-side management in the existing electricity market environment and usage scenarios, the power systems dispatching containing renewable energy and flexible loads have the demands of comprehensive business coverage, significant differences in customer demand, difficulty in controlling the operation system, and high social requirements for the trustworthiness of grid enterprises [2][3][4]. In response to these demands, there is an urgent need for a power system dispatching that meets the market operation rules and the requirements of trustworthy control to help the power grid distribute electricity better and more effectively [5].…”

Electricity Demand Side Management

“…Hummel et al [16] measured the electric power demand of air compressors in industrial facilities, finding key influencing factors for the compressed air electric ratio. Zhang et al [17] analysed aluminum smelters' role as a possible flexibility supplier, helping to manage maintenance schemes for the electric power grid. Köberlein et al [18] also targeted industrial use-cases of energy-flexible manufacturing, identifying challenges and solutions for the simulation of these processes.…”